ArticleHuman mutation2026
Molecular Landscape and Predictive Significance of Programmed Cell Death-Related Genes in Sepsis.
Article in Human mutation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Molecular Landscape and Predictive Significance of Programmed Cell Death-Related Genes in Sepsis.Human mutation · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis, a systemic inflammatory response to infection, remains a significant health challenge with high morbidity and mortality rates. The molecular mechanisms underlying sepsis, particularly the role of programmed cell death (PCD), are not fully understood. This study is aimed at elucidating the transcriptomic changes associated with sepsis, emphasizing PCD, and identifying potential diagnostic biomarkers. Transcriptome data from sepsis and control samples were extracted from the GEO website. Differential expression analysis identified genes perturbed in sepsis. WGCNA revealed 14 highly connected modules, with the turquoise module showing the strongest association with sepsis. A set of 262 hub genes was identified, which were mainly associated with apoptotic signaling pathways. Seven prognostic-related overlapping feature genes (PRGs) were identified. More importantly, the diagnostic model, constructed using eight machine learning algorithms, exhibited high efficacy in distinguishing sepsis patients from controls. The validation of feature genes at the scRNA-seq level adds a layer of robustness to our conclusions. The strong association of genes like S100A9 and KLHL3 with neutrophils, pivotal players in sepsis, suggests potential avenues for therapeutic targeting. Our comprehensive analysis has unveiled the significant role of PCD in sepsis. The insights gained from this study provide a foundation for future therapeutic interventions.
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Registered trials
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